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classifiers
classifiers.data_splitter
classifiers.g_class_centers
:
This computes centers for classes.
classifiers.g_kmeans
classifiers.l_class_show
:
Reads in the output of l_classifier.py and prepares it for display.
classifiers.l_classifier_guts
:
A classifier that assumes that P is linear in position.
classifiers.lx_classifier
classifiers.multivariance
classifiers.q_classiboost
:
Reads the *.fiat file produced by q_classifier.py that contains the decisions of the individual classifiers in the forest.
classifiers.q_classifier_mm
:
Subroutines for q_classifier.py that implement a multi-mu model.
classifiers.q_classifier_r
:
This is a support module, used by many types of classifiers.
classifiers.qd_classifier_guts
:
A classifier that assumes that log(P) is a quadratic form.
classifiers.read_classified
:
This module reads the outputs of qd_classifier.py, specificially classifed.fiat and classes.chunk.
classifiers.sim_cen_gauss_class
:
Simple centered Gaussian Classifier.
l_classifier (script)
:
A classifier that assumes that P is linear in position.
qd_classifier (script)
:
A classifier that assumes that log(P) is a quadratic form.
qdg_classifier (script)
:
A linear or quadratic classifier, but the test and training sets are defined by the
-group
flag.
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Speechresearch/classifiers
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